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Asymptotic Stability of LTV Systems With Applications to Distributed Dynamic Fusion

机译:LTV系统的渐近稳定性及其在分布式动态融合中的应用

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We investigate the behavior of Linear Time-Varying (LTV) systems with randomly appearing, sub-stochastic system matrices. Motivated by dynamic fusion over mobile networks, we develop conditions on the system matrices that lead to asymptotic stability of the underlying LTV system. By partitioning the sequence of system matrices into slices, we obtain the stability conditions in terms of slice lengths and introduce the notion of unbounded connectivity , i.e., the time-intervals, over which the multi-agent network is connected, do not have to be bounded as long as they do not grow faster than a certain exponential rate. We further apply the above analysis to derive the asymptotic behavior of a dynamic leader-follower algorithm.
机译:我们研究具有随机出现的亚随机系统矩阵的线性时变(LTV)系统的行为。受移动网络动态融合的推动,我们在系统矩阵上开发了导致底层LTV系统渐近稳定的条件。通过将系统矩阵的序列划分为多个切片,我们根据切片长度获得了稳定性条件,并引入了无界连通性的概念,即,无需连接多主体网络的时间间隔只要它们的增长速度不超过一定的指数速度就可以。我们进一步应用以上分析来得出动态领导者跟随算法的渐近行为。

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